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LLMs Are Just the Sponge: Building the Full AI Cake with Agent Spaces

From LLMs to AI systems is a long journey. Just like a sponge alone doesn't make a cake, LLMs alone can't create the rich, layered AI experiences we rely on today. This article explores how the AI Cake is formed—how modular systems, orchestrated workflows, and

One Size Fits None: Why Domain-Specific Agent Spaces Win

As Agent Spaces begin to define how humans and AI agents collaborate, a critical design choice emerges: why not build a single Agent Space that does everything? A universal platform might sound efficient, but in practice, specialization beats generalization when solving hard problems. This article makes the case for domain-specific

AI Search and Answer Engines: The Future of Discovery

A single news item—Apple exploring AI search in Safari—yesterday wiped ~$150 billion off Alphabet's market value overnight. Big Tech is racing to embed AI-driven answers directly into browsers, search engines, and smart devices. Read on to see why specialized AI search for vertical domains like DeFi

Memory Blocks & Memory NFT Marketplace - Empowering Agent Creators

Memory blocks are revolutionizing how we create and deploy AI agents. These blocks serve as extended knowledge repositories for agents, dramatically enhancing their capabilities and defining their utility in specific domains.Think of it this way: Your AI brain = Processing (LLM) + Memory (Memory blocks) For creators, memory blocks offer versatile

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